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Discrete Choice Models

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Showing 1–50 of 104 papers

TitleStatusHype
Choice Set Optimization Under Discrete Choice Models of Group DecisionsCode1
Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and PerformanceCode1
Enhancing Discrete Choice Models with Representation LearningCode1
A prediction and behavioural analysis of machine learning methods for modelling travel mode choiceCode1
A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and InterpretabilityCode0
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice modelsCode0
Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation ModelingCode0
Choice-Learn: Large-scale choice modeling for operational contexts through the lens of machine learningCode0
Graph-Based Methods for Discrete ChoiceCode0
Representing Random Utility Choice Models with Neural NetworksCode0
The Mixed Aggregate Preference Logit Model: A Machine Learning Approach to Modeling Unobserved Heterogeneity in Discrete Choice AnalysisCode0
Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical SolutionCode0
Choice Set Confounding in Discrete ChoiceCode0
A branch-and-cut algorithm for the latent-class logit assortment problemCode0
Identification of Incomplete PreferencesCode0
Robust discrete choice models with t-distributed kernel errorsCode0
A utility-based spatial analysis of residential street-level conditions; A case study of Rotterdam—0
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition—0
A tutorial on recursive models for analyzing and predicting path choice behavior—0
Attitudes and Latent Class Choice Models using Machine learning—0
Comparison of Discrete Choice Models and Artificial Neural Networks in Presence of Missing Variables—0
A Recursive Partitioning Approach for Dynamic Discrete Choice Modeling in High Dimensional Settings—0
A Feedback Control Framework for Incentivised Suburban Parking Utilisation and Urban Core Traffic Relief—0
Computer vision-enriched discrete choice models, with an application to residential location choice—0
Conditional Choice Probability Estimation of Dynamic Discrete Choice Models with 2-period Finite Dependence—0
Continuous permanent unobserved heterogeneity in dynamic discrete choice models—0
A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models—0
Counterfactual Sensitivity and Robustness—0
Deep Learning for the Estimation of Heterogeneous Parameters in Discrete Choice Models—0
Demand and Welfare Analysis in Discrete Choice Models with Social Interactions—0
Faster estimation of dynamic discrete choice models using index invertibility—0
Evaluating the Determinants of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity of Bengaluru—0
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark—0
Equilibrium Multiplicity: A Systematic Approach using Homotopies, with an Application to Chicago—0
Enhanced multilayer perceptron with feature selection and grid search for travel mode choice prediction—0
Approximating Choice Data by Discrete Choice Models—0
A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University—0
Efficient counterfactual estimation in semiparametric discrete choice models: a note on Chiong, Hsieh, and Shum (2017)—0
Dynamic Models with Robust Decision Makers: Identification and Estimation—0
Enhancing Travel Choice Modeling with Large Language Models: A Prompt-Learning Approach—0
Duality in dynamic discrete-choice models—0
Discrete Choice Multi-Armed Bandits—0
Bayesian Deep Learning for Discrete Choice—0
Existence of a Competitive Equilibrium with Substitutes, with Applications to Matching and Discrete Choice Models—0
A Note on "A survey of preference estimation with unobserved choice set heterogeneity" by Gregory S. Crawford, Rachel Griffith, and Alessandro Iaria—0
Discrete-Choice Model with Generalized Additive Utility Network—0
Fully Data-driven but Interpretable Human Behavioural Modelling with Differentiable Discrete Choice Model—0
Gaussian Process Latent Class Choice Models—0
Generation of discrete random variables in scalable frameworks—0
Identification and Estimation of Discrete Choice Models with Unobserved Choice Sets—0
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